11/21/2019

SWC @ MIT

  • 20 Registered
  • 72 Waiting List
  • 10 Cancelled

Among the 102 people, 19 people attended full two-day workshop during the long weekend in October

Who are interested?

How did people learn about this workshop?

Feedback

Feedback - Positive

feedback$Positive
##  [1] "Very helpful workshop. I understood the language much better now! "                                                              
##  [2] "Very helpful. Instructors are super helpful & knowledgeable. Highly recommended. Thank you. "                                    
##  [3] "I like the pace in the morning & early afternoon! Thanks Ye! I like the way you explain to me"                                   
##  [4] "Thank you! Like the topics covered, especially plotting in python"                                                               
##  [5] "The examples of real-world applications are very helpful! "                                                                      
##  [6] "I know nothing about Shell, Python, Git. But I feel I understand the language much better now. Thanks!!"                         
##  [7] "The workshop's format is great! Excited to sign up for more advanced workshops!"                                                 
##  [8] "It was very useful and particularly the links to the resources, so that I can go back and study more in detail"                  
##  [9] "I like the guidance & support from you guys in this workshop. I am totally new to python & I feel I've learned a lot from this. "
## [10] "I like to see how pandas work. Very useful. I would like to have an ep2 with more advanced things"                               
## [11] "Instructive! Perfect! "

Feedback - To improve

feedback$To.improve[1:8]
## [1] "I wish there was a place where the code we are looking at is always displayed so we can catch up if we fall behind"     
## [2] "The students may have examples from their experience as well "                                                          
## [3] "Please show more examples of plotting data from the Science/Eng area"                                                   
## [4] "I would like to have an ep2 with more advanced things"                                                                  
## [5] "Sometimes running too fast, sometimes running too slow. May be cover python in one day? Unix and Shell on another day? "
## [6] "I would spend less time on directories and move on Python and Pandas"                                                   
## [7] "It would be helpful to have workshops exclusively on Unix, python, and git! "                                           
## [8] "Too fast for afternoon session! Totally lost in the last hour of classes! "

Implications

  • Tool- and Skill-based workshops are popular

  • Use it to teach students
    • basic programming skills
    • computationally reproducible research workflow
    • open data, open science and open research
    • good data practices